A data management system (DMS) may support intelligent snapshot protection techniques. For example, the DMS may backup a computing system and facilitate that capture and storage of snapshots of the computing system. The DMS may identify a deletion event associated with one or more of the snapshots, the deletion event being associated with the one or more snapshots being deleted at a first time. The DMS may determine that deletion event is anomalous and retain the one or more snapshots beyond the first time. For example, the DMS may determine that one or more parameters associated with the deletion event are indicative of the deletion event being anomalous. In response, the DMS may retain the one or more snapshots for a retention period beyond the first time.
Legal claims defining the scope of protection, as filed with the USPTO.
6. The method of claim 1, wherein one or more thresholds associated with the one or more parameter values and used to determine that the deletion event is anomalous are based at least in part on a capacity of a storage entity used to store the one or more snapshots.
10. The method of claim 9, wherein the one or more snapshots are stored in the second storage entity after the second time.
13. The method of claim 1, wherein a duration for which the one or more snapshots are retained is based at least in part on a capacity of a storage entity used to retain the one or more snapshots, the one or more snapshots retained until at least the second time in accordance with the duration.
15. The method of claim 1, wherein an immutable configuration of the data management system comprises retention of snapshots beyond expiration of the snapshots based at least in part on corresponding deletion events being anomalous, and wherein retaining the one or more snapshots until at least the second time in response to determining that the one or more parameter values are indicative of the deletion event being anomalous is in accordance with the immutable configuration of the data management system.
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October 24, 2022
July 30, 2024
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